Methods and systems for managing stock room bin audits at retail sales facilities

ABSTRACT

In some embodiments, methods and systems of managing bins audits in a stock room of a retail sales facility include generating at least one bin audit management factor for the bins at the retail sales facility. The bin audit management factor can include an amount of time a total number of products stored in the bin does not change; a number of times a one product is binned or picked from the bin, a number of products stored in the bin; and an accuracy percentage of a worker at the retail sales facility during a preceding audit of the bin. Based on whether the value of one or more of the bin audit management factors meets a predetermined threshold value that supports the auditing of a bin, an indication to a worker at the retail sales facility is generated as to whether that bin is to be audited or not.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. application Ser. No.15/342,430, filed Nov. 3, 2016, which claims the benefit of U.S.Provisional Application No. 62/251,522, filed Nov. 5, 2015, each ofwhich is incorporated herein by reference in its entirety.

TECHNICAL FIELD

This invention relates generally to managing stock room inventory and,in particular, to systems and methods for managing bin audits in stockrooms of retail sales facilities.

BACKGROUND

Retail sales facilities such as large department stores typically storeoverstock products in storage bins located in their stock rooms. A stockroom of a retail sales facility may store hundreds, if not thousands ofbins, and each storage bin may in turn contain dozens, hundreds, orthousands of products. Since products are binned into the bins after adelivery and picked from the bins to be worked to the sales floorfrequently, in order to accurately monitor the on-hand product inventoryat a retail sales facility, the associates at the retail sales facilityperiodically audit the storage bins in the stock room to determine thatthe bins actually contain the products indicated in the inventory systemto be located in those bins. Such bin auditing generally requires anassociate to manually scan each of the products in the bin using ahand-held scanner.

Given the large number of products stored in the bins in a stock room ofa retail sales facility, bin auditing is a time consuming and voluminoustask that increases the operational costs of the retail sales facility.Since the workers at retail sales facilities may have to scan dozens,hundreds, or thousands of products in the bins of the stock rooms whenauditing the bins, the likelihood of human error during data entryincreases, sometimes leading to inaccurate stocking information and theresulting inefficiencies during subsequent retrieval of products fromthe bins.

BRIEF DESCRIPTION OF THE DRAWINGS

Disclosed herein are embodiments of systems, apparatuses and methodspertaining to methods and systems for managing stock room bin audits atretail sales facilities. This description includes drawings, wherein:

FIG. 1 is a diagram of a system of managing stock room bin audits at aretail sales facility in accordance with some embodiments.

FIG. 2 is a functional diagram of an electronic inventory managementdevice in accordance with several embodiments.

FIG. 3 is a flow diagram of a process of managing stock room bin auditsat a retail sales facility in accordance with some embodiments.

FIG. 4 is a flow diagram of a method of managing stock room bin auditsat a retail sales facility in accordance with some embodiments.

Elements in the figures are illustrated for simplicity and clarity andhave not necessarily been drawn to scale. For example, the dimensionsand/or relative positioning of some of the elements in the figures maybe exaggerated relative to other elements to help to improveunderstanding of various embodiments of the present invention. Also,common but well-understood elements that are useful or necessary in acommercially feasible embodiment are often not depicted in order tofacilitate a less obstructed view of these various embodiments of thepresent invention. Certain actions and/or steps may be described ordepicted in a particular order of occurrence while those skilled in theart will understand that such specificity with respect to sequence isnot actually required. The terms and expressions used herein have theordinary technical meaning as is accorded to such terms and expressionsby persons skilled in the technical field as set forth above exceptwhere different specific meanings have otherwise been set forth herein.

DETAILED DESCRIPTION

Generally, this application describes systems and methods of managingbins audits in a stock room of a retail sales facility based on at leastone bin audit management factor for the bins at the retail salesfacility. The bin audit management factors that may be factored in whenarriving at a decision of whether a bin is to be audited can include butare not limited to: an amount of time a total number of products storedin the bin does not change; a number of times a product is binned intoor picked from the bin; a number of products stored in the bin; and anaccuracy percentage of a worker at the retail sales facility during apreceding audit of the bin. If the value of one or more of the bin auditmanagement factors meets a predetermined threshold value that supportsthe auditing of a bin, an indication is generated for a worker at theretail sales facility to audit the bin. Conversely, if the value of oneor more of the bin audit management factors does not meet apredetermined threshold value that supports the auditing of a bin, nosuch indication to audit is generated and the worker may be restrictedfrom auditing the bin.

In one embodiment, a method of managing a number of audits of binsstoring products at a stock room location of a retail sales facilityincludes: generating, using an electronic inventory management deviceincluding a processor, at least one bin audit management factor for atleast one bin at the retail sales facility. The at least one bin auditmanagement factor includes but is not limited to: an amount of time atotal number of products stored in the at least one bin does not change;a number of times at least one product is binned or picked from the atleast one bin, a number of products stored in the at least one bin; andan accuracy percentage of a worker at the retail sales facility during apreceding audit of the at least one bin. The method further includesobtaining, using the electronic inventory management device, the atleast one bin audit management factor for the at least one bin anddetermining whether at least one threshold value for the obtained atleast one bin audit management factor meets a predetermined thresholdvalue that supports auditing the at least one bin; and generating, usingthe electronic inventory management device, an indication to the workerat the retail sales facility whether the determining step supports theauditing of the at least one bin.

In another embodiment, a system for managing a number of audits of binsstoring products at a stock room location of a retail sales facilityincludes a database configured to store at least one bin auditmanagement factor for at least one bin at the retail sales facility andan electronic inventory management device including a control unithaving a processor in communication with the database. The control unitis configured to: generate at least one bin audit management factor forat least one bin at the retail sales facility, wherein the at least onebin audit management factor comprises at least one of: an amount of timea total number of products stored in the at least one bin does notchange; a number of times at least one product is binned or picked fromthe at least one bin, a number of products stored in the at least onebin; and an accuracy percentage of a worker at the retail sales facilityduring a preceding audit of the at least one bin; obtain, the at leastone bin audit management factor for the at least one bin and determinewhether at least one threshold value for the obtained at least one binaudit management factor meets a predetermined threshold value thatsupports auditing the at least one bin; and generate an indication tothe worker at the retail sales facility whether the determinationsupports the auditing of the at least one bin.

In yet another embodiment, a system of managing a number of audits ofbins storing products at a stock room location of a retail salesfacility includes means for generating, using an electronic inventorymanagement device including a processor, at least one bin auditmanagement factor for at least one bin at the retail sales facility. Theat least one bin audit management factor comprises at least one of: anamount of time a total number of products stored in the at least one bindoes not change; a number of times at least one product is binned orpicked from the at least one bin, a number of products stored in the atleast one bin; and an accuracy percentage of a worker at the retailsales facility during a preceding audit of the at least one bin. Thesystem further includes means for obtaining, using the electronicinventory management device, the at least one bin audit managementfactor for the at least one bin and determining whether at least onethreshold value for the obtained at least one bin audit managementfactor meets a predetermined threshold value that supports auditing theat least one bin; and means for generating, using the electronicinventory management device, an indication to the worker at the retailsales facility whether the determining step supports the auditing of theat least one bin.

Referring to FIG. 1, one embodiment of a system 100 for managing auditsof products 190 stored in storage bins 150 at a stock room 160 of aretail sales facility 110 is shown. The retail sales facility 110 may beany place of business such as a store or warehouse where products 190are stocked and/or sold to consumers. While only two storage bins 150each housing four products 190 are shown in FIG. 1 for ease ofillustration, it will be appreciated that the stock room 160 of theretail sales facility 110 may store numerous (e.g., tens, hundreds,and/or thousands) of bins 150, and that each bin 150 may contain dozensor hundreds of products 190.

The exemplary system 100 depicted in FIG. 1 includes an electronicinventory management device 120 configured generally to manage theinventory of products 190 at the retail sales facility 110, and morespecifically, to manage the auditing of the bins 150. The electronicinventory management device 120 illustrated in FIG. 1 may be astationary or portable electronic device including a processor-basedcontrol unit, for example, a desktop computer, a laptop computer, atablet, a mobile phone, or any other electronic device configured fordata entry and one-way and/or two-way communication with another devicelocated at the retail sales facility 110 (e.g., scanning device 130), orat a location remote to the retail sales facility 110 (e.g., a regionalserver configured for two-way communication with electronic inventorymanagement devices 120 located at multiple retail sales facilities 110).

The exemplary electronic inventory management device 120 shown in FIG. 1includes an inventory management database 140 configured to storeelectronic information regarding the products 190 at the retail salesfacility 110. The inventory management database 140 may store electronicdata including but not limited to: historical data derived fromtransaction data pertaining to the products (i.e., product purchases),inventory stocking data such as time stamp of binning of a product 190,time stamp of a pick of a product from a bin 150, time stamp of an auditof a bin 150, number of products 190 delivered to the retail salesfacility 110 and/or sold at the retail sales facility 110 within apredetermined interval or time. The inventory management database 140may be stored, for example, on non-volatile storage media (e.g., a harddrive, flash drive, or removable optical disk) internal or externalrelative to the electronic inventory management device 120, or internalor external to computing devices (e.g., remote server) separate from theelectronic inventory management device 120.

In some embodiments, the inventory management database 140 may storeelectronic data in the form of inventory management factors pertainingto the bins 150 in the stock room 160 of the retail sales facility 110.Such inventory management factors may include but are not limited to:number of products 190 in each bin 150; time stamp and the associatedamount of time elapsed since a bin 150 has been audited; time stamp andthe associated amount of time elapsed since a product 190 was binnedinto or picked from a bin 150; total number of products 190 in the bin150; total number of times one or more products 190 are binned into orpicked from one or more bins 190; and, for bins that have previouslybeen audited by a worker, an accuracy percentage of a worker at theretail sales facility 110 during a preceding audit of the bins 150. Insome embodiments, the inventory management factors may vary based onwhether the products 190 in the bin 150 are stored as eaches, cases, orpallets.

The electronic data stored in the inventory management database 140 ofthe electronic inventory management device 120 may be received by theelectronic inventory management device 120, for example, as a result ofa worker (e.g., stock room associate) scanning the products 190 usingthe scanning device 130, for example when binning a product 190 into abin 150, when picking a product 190 from the bin 150, or when auditing abin 150. In some embodiments, at least some of the electronic datarepresenting one or more bin audit management factors may be transmittedto the electronic inventory management device 120 from a remote (e.g.,regional) server. By way of example, information regarding workeraccuracy during previous bin audits may be received by the electronicinventory management device 120 from a server located at a productdistribution center or a server at a regional data center. It will beappreciated that the inventory management database 140 does not have tobe incorporated into the electronic inventory management device 120 asshown in FIG. 1, but may be stored on a remote (e.g., regional) serverin communication with the electronic inventory management device 120.

The scanning device 130 may be an electronic mobile (e.g., hand-held)scanner that may be carried by a worker at the retail sales facility110. Examples of such scanning devices 130 may include, but are notlimited to barcode, RFID, or SKU readers, electronic tablets, cellularphones, or the like. Alternatively, the scanning device 130 may be astationary electronic scanning device installed in the stock room 160 ofthe retail sales facility 110.

In the exemplary embodiment illustrated in FIG. 1, the scanning device130 may obtain electronic data (e.g., identifying data) associated witha product 190 in a bin 150 by communicating via a communication channel135 (e.g., radio waves) with a unique identifying indicia 192 (e.g.,barcode, RFID (radio frequency identification), or SKU (stock keepingunit) number) of the product 190. The electronic inventory managementdevice 120 of FIG. 1 may receive the electronic data associated with theproduct 190 from the scanning device 130 by way of a two-waycommunication channel 145, which may be a wired or wireless connection(e.g., WiFi). For example, when a worker bins a product 190 into a bin150 in the stock room 160 of the retail sales facility 110, the workermay scan the identifying indicia 192 of the product 190 being binnedusing the scanning device 130, in response to which data uniquelyidentifying the product 190 may be obtained by the scanning device 130,and a time stamp of binning of the product 190 may be generated by thescanning device 130.

An exemplary electronic inventory management device 120 depicted in FIG.2 is a computer-based device and includes a control circuit (i.e.,control unit) 210 including a processor (for example, a microprocessoror a microcontroller) electrically coupled via a connection 215 to amemory 220 and via a connection 225 to a power supply 230. The controlunit 210 can comprise a fixed-purpose hard-wired platform or cancomprise a partially or wholly programmable platform, such as amicrocontroller, an application specification integrated circuit, afield programmable gate array, and so on. These architectural optionsare well known and understood in the art and require no furtherdescription here.

This control unit 210 can be configured (for example, by usingcorresponding programming stored in the memory 220 as will be wellunderstood by those skilled in the art) to carry out one or more of thesteps, actions, and/or functions described herein. In some embodiments,the memory 220 may be integral to the processor-based control unit 210or can be physically discrete (in whole or in part) from the controlunit (i.e., control unit) 210 and is configured non-transitorily storethe computer instructions that, when executed by the control unit 210,cause the control unit 210 to behave as described herein. (As usedherein, this reference to “non-transitorily” will be understood to referto a non-ephemeral state for the stored contents (and hence excludeswhen the stored contents merely constitute signals or waves) rather thanvolatility of the storage media itself and hence includes bothnon-volatile memory (such as read-only memory (ROM)) as well as volatilememory (such as an erasable programmable read-only memory (EPROM)).Accordingly, the memory and/or the control unit may be referred to as anon-transitory medium or non-transitory computer readable medium. Thecontrol unit 210 of the electronic inventory management device 120 isalso electrically coupled via a connection 235 to an input/output 240that can receive signals from and send signals (via a wired or wirelessconnection) to (e.g., commands, inventory database information), forexample, devices local to the retail sales facility 110, or one or moreservers remote to the retail sales facility 110.

Optionally, instead of receiving information regarding the products 190from a separate scanner such as the scanning device 130, the controlunit 210 may also be electrically coupled to a sensor such as a readerconfigured to detect and/or read information on the identifying indicia(e.g., a label) 192 located on the products 190 when the electronicinventory management device 120 is placed in direct proximity to aproduct 190. Such an optional reader may be a radio frequencyidentification (RFID) reader, an optical reader, a barcode reader, orthe like.

In the embodiment shown in FIG. 2, the processor-based control unit 210of the electronic inventory management device 120 is electricallycoupled via a connection 245 to a user interface 250, which may includea visual display or display screen 260 (e.g., LED screen) and/or buttoninput 270 that provide the user interface 250 with the ability to permita user such as a stock room or sales floor associate at the retail salesfacility 110 to manually control the electronic inventory managementdevice 120 by inputting commands, for example, via touch-screen and/orbutton operation or voice commands. The display screen 260 can alsopermit the user to see various menus, options, and/or alerts displayedby the electronic inventory management device 120. The user interface250 of the electronic inventory management device 120 may also include aspeaker 280 that may provide audible feedback (e.g., alerts) to theuser.

With reference to FIGS. 1-3, one method 300 of operation of the system100 for managing the audits of bins 150 in a stock room 160 of a retailsales facility 110 will now be described. For exemplary purposes, themethod 300 is described in the context of the system of FIG. 1, but itis understood that embodiments of the method 300 may be implemented inthe system 100 or other systems. Generally, as shown in FIG. 3, themethod 300 includes generating, using the electronic inventorymanagement device 120, at least one bin audit management factor for oneor more bins 150 at the retail sales facility 110 (step 310).

In some embodiments, the inventory management factors that may befactored in by the processor of the control unit 210 of the electronicinventory management device 120 to determine whether the bin 150 is tobe audited by a worker at the retail sales facility 110 include, but arenot limited to: an amount of time a total number of products 190 storedin a bin 150 does not change (i.e., no products 190 are binned into orpicked from the bin 150 and/or the bin has not been audited in apredetermined interval of time); a number of times a product 190 isbinned into or picked from the bin 150; a total number of products 190stored in the bin 150; and an accuracy percentage of the worker at theretail sales facility 110 during a preceding audit of the bin 150. Itwill be appreciated that the above bin audit management factors areshown by way of example only, and that both additional and alternativebin audit management factors may be factored in by the processor or thecontrol unit 210 of the electronic inventory management device 120 todetermine whether a bin 150 is to be audited or not. In the exemplaryembodiment illustrated in FIG. 1, the generated bin audit managementfactors are stored in the inventory management database 140 of theelectronic inventory management device 120, but it will be appreciatedthat the bin audit management factors, after being generated by theelectronic inventory management device 120, may be transmitted to adatabase server remote to the retail sales facility 110.

In some embodiments, after the stocking associate at the retail salesfacility 110 scans the identifying indicia 192 of the product 190 usingthe scanning device 130 (e.g., when binning the product 190 or pickingthe product 190), the scanning device 130 transmits a signal includingelectronic data associated with the product 190, for example, a uniqueidentifier of the product 190 and a time stamp of binning of the product190 into the bin 150, to the electronic inventory management device 120.After receiving electronic data associated with the product 190, theprocessor of the control unit 210 of the electronic inventory managementdevice 120 is programmed to send a signal to the inventory managementdatabase 140 to enable the inventory management database 140 to beupdated with the electronic data associated with the product 190. Itwill be appreciated that instead of transmitting the electronic dataassociated with the product 190 to the electronic inventory managementdevice 120 directly, the scanning device 130 may transmit the dataobtained based on scanning the product 190 to a remote inventorymanagement database (e.g., regional data bank) located at a serverremote to the retail sales facility 110.

In the exemplary method 300 illustrated in FIG. 3, the control unit 210of the electronic inventory management device 120 is programmed toobtain one or more of the bin audit management factors associated with abin 150 of interest (step 320). The bin audit management factors may bemanually entered by a worker into the electronic inventory managementdevice 120, or may be generated by the control unit 210 based on variousvariable and historical data associated with the bins 150 and products190 at a retail sales facility.

The bin audit management factors, once entered by a worker or generatedby the control unit 210 for the bins 150 in the stock room 160 of theretail sales facility 110, may be stored in the inventory managementdatabase 140 of the electronic inventory management device 120, or maybe stored on a remote server in wired or wireless communication with theelectronic inventory management device 120. When a bin 150 for which thebin audit management factors are to be obtained is determined by theelectronic inventory management device 120 (e.g., as a result of manualinput by a worker), the control unit 210 is programmed to send a signalincluding a request for one or more bin audit management factorsassociated with that bin 150 to be retrieved either from the inventorymanagement database 140 or from the remote (e.g., regional) inventorymanagement database and to be transmitted to the control unit 210accordingly.

The control unit 210 of the electronic inventory management device 120is programmed to set a threshold value for each of the bin auditmanagement factors based on various criteria including but not limitedto the size of the bin 150, consumer demand for products 190 at theretail sales facility 110, worker availability and accuracy at theretail sales facility 110. The thresholds for the bin audit managementfactors may be manually entered by a worker at the retail sales facility110 into the electronic inventory management device 120, or may beobtained by the electronic inventory management device 120 from a serverremote to the electronic inventory management device 120 (e.g., regionalserver). Some exemplary threshold values for bins 150 according to oneembodiment will be discussed below with reference to FIG. 4.

In some embodiments, the control unit 210 of the electronic inventorymanagement device 120 may set the threshold for supporting the auditingof a bin 150 based on whether the products 190 stored in the bin 150 arestored as pallets, cases, or eaches. The varying threshold values forbins 150 storing eaches, cases, and pallets are a result of the bins 150storing products 120 as eaches containing significantly more individualunits than bins 150 that contain cases of the product 120, which in turncontain a number of cases that is significantly higher than the numberof (the much larger) pallets in a bin 150 that contains pallets.

In some embodiments, the control unit 210 may include smart logic (e.g.,learning function) in that the control unit 210 is programmed to adjustthe preset threshold value of one or more bin audit management factorsfor a bin 150 based on at least one previous auditing of the bin 150.For example, if the control unit 210 of the electronic inventorymanagement device 120 receives an indication that worker accuracy wassignificantly higher or lower during the preceding audit of a bin 150,the control unit 210 may adjust the bin audit management factor relatingto worker accuracy accordingly. As such, the control unit 210 isconfigured to set bin audit management factor thresholds based onupdated real-time information, thereby increasing the accuracy of thepreset thresholds of bin audit management factors for the bins 150 atspecific retail sales facilities 110. In the exemplary embodiment ofFIG. 3, after the one or more bin audit management factors are obtained,the control unit 210 of the electronic inventory management device 120is programmed to determine whether a threshold value for each of theobtained one or more bin audit management factors meets a predeterminedthreshold value that supports the auditing of the bin 150 (step 320).

In some embodiments, a determination of whether or not a bin 150 is tobe audited by the control unit 210 depends on a number of bin auditmanagement factors for which the predetermined threshold is exceeded.For example, the control unit 210 may generate an indication to theworker at the retail sales facility 110 that the obtained bin auditmanagement factors support the auditing of the bin 150 in response to adetermination that a single threshold value for the obtained bin auditmanagement factors meet the predetermined threshold value that supportsthe auditing of the at least one bin. In other embodiments, the controlunit 210 may generate an indication to the worker at the retail salesfacility 110 that the obtained bin audit management factors support theauditing of the bin 150 in response to a determination that two or morethreshold values for the obtained bin audit management factors meet thepredetermined threshold value that supports the auditing of the at leastone bin. In still other embodiments, the control unit 210 may generatean indication to the worker at the retail sales facility 110 that theobtained bin audit management factors support the auditing of the bin150 in response to a determination that three or more threshold valuesfor the obtained bin audit management factors meet the predeterminedthreshold value that supports the auditing of the at least one bin. Instill other embodiments, the control unit 210 may generate an indicationto the worker at the retail sales facility 110 that the obtained binaudit management factors support the auditing of the bin 150 in responseto a determination that all of the threshold values for the obtained binaudit management factors meet the predetermined threshold value thatsupports the auditing of the at least one bin.

Generally, when the control unit 210 of the electronic inventorymanagement device 120 determines that a value for one or more of theobtained bin management factors meets the value for the bin managementfactor stored in the inventory management database 140 of the electronicinventory management device 120, the control unit 210 of the electronicinventory management device 120 is programed to generate an indicationto the worker at the retail sales facility that the bin 150 of interestmust be audited (step 330). Such an indication or output may begenerated for a worker at the retail sales facility 110 on the visualdisplay 260 of the electronic inventory management device 120, or viathe speaker 280 of the electronic inventory management device 120. Insome embodiments, the indication to the worker of whether to audit a bin150 may be in the form of a list (e.g., a list of bins 150 to beaudited).

Conversely, when the control unit 210 of the electronic inventorymanagement device 120 determines that a value for one or more of theobtained bin management factors does not meet the value for thecorresponding bin management factor thresholds stored in the inventorymanagement database 140 of the electronic inventory management device120, the control unit 210 of the electronic inventory management device120 is programed to generate an indication to the worker at the retailsales facility that the bin 150 of interest is not to be audited. Forexample, in some embodiments, when the threshold values for that bin 150do not support the auditing of the at least one bin 150, the controlunit 210 of the electronic inventory management device 120 is programedto restrict the worker at the retail sales facility 110 from theauditing of the bin 150, for example, by way of sending a signal via thecommunication channel 145 to the scanning device 130 to disable thescanning of the products 190 in that bin 150.

FIG. 4 shows an exemplary method 400 of managing bin audits in a stockroom 160 of a retail sales facility 110 in operation. In the method ofFIG. 400, the control unit 210 of the electronic inventory managementdevice 120 is programed to determine a location (i.e., one or more bins150) in a stock room 160 of the retail sales facility 110 to be audited(step 410). As described above, a purpose of a bin audit is to determinewhether the products 190 indicated in the inventory management database140 as being in a bin 150 are actually in that bin 150. In the exemplarymethod 400 of FIG. 4, the processor control unit 210 of the electronicinventory management device 120 is programed to analyze the followingfour exemplary inventory management factors to arrive at a decision ofwhether to audit the bin 150 or not: amount of time (days) since thelast audit of the bin 150; user accuracy percentage of the worker at theretail sales facility 110 during a preceding audit of the bin 150; atotal number of products 190 stored in the bin 150; and number oftransactions (i.e., binning of products 190 into the bin or picking ofproducts 190 from the bin) that have occurred in the bin 190.

As shown in FIG. 4, the exemplary thresholds set by the control unit 210of the electronic inventory management device 120 for the bin 150 are asfollows: (1) up to 3 days of static activity (i.e., whether the bin hasbeen audited in the past X number of days) (step 420), (2) 3 or fewertransactions in the bin 150 (binning of products 190 into the bin 150and/or picks of products 190 from the bin 150) (step 450), (3) 30 orfewer barcodes (individual product, case, or pallet) (step 440); and (4)last audit user accuracy of above 95% (step 430). All discussed above,these predetermined thresholds may be adjusted by the control unit 210based on learnings, and the bin audit management factors in FIG. 4 andtheir specific numerical values are shown by way of example only, andboth additional and alternative bin audit management factors may befactored in by the processor or the control unit 210 of the electronicinventory management device 120 to determine whether a bin 150 is to beaudited or not.

While FIG. 4 shows that the determination by the control unit 210 toaudit the bin 150 (step 460) is generated based on all four of thevalues for the bin as compared to the predetermined thresholds supportthe audit of the bin 150, it will be appreciated that the determinationto audit the bin 150 may be made based on only one, two, or three of thethreshold values for the bin audit management factors meeting thepredetermined threshold values for the bin 150 stored in the inventorymanagement database 140. Conversely, if the obtained values for a bin150 do not support the auditing of the bin 150 when compared to thepredetermined threshold values stored in the inventory managementdatabase 140, the control unit 210 of the electronic inventorymanagement device 120 may generate an indication to the worker at theretail sales facility 110 not to audit the bin but to take current countof the products 120 (step 470). In some embodiments, the indication tothe worker of whether to audit a bin 150 may be in the form of a list ofbins 150 to be audited, and the bins 150 determined (e.g., by thecontrol unit 210 of the electronic inventory management device 120) tonot be audited do not appear on such a list.

In some embodiments, the following exemplary probabilities may befactored in and processed by the control unit 210 of the electronicinventory management device 120 when determining whether a bin 150should be audited or not:

Probability to Audit a BinP _(Audit) =f(Skus)+f(A)+f(T)+f(R)With P_(Audit)>a target value=bin location audit or with known weight oraffect to accuracyP _(Audit) =αf(Skus)+βf(A)+γf(T)+δf(R)Where α, β, γ, δ<1

Time Factor: f(T)

${f(T)} = \left\lbrack {{\frac{1}{\left( {t_{stop} - t_{start}} \right)}T} - \left( \frac{t_{start}}{t_{stop} - t_{start}} \right)} \right\rbrack$If  f(T) < 0, then  f(T) = 0 If  f(T) > 1, then  f(T) = 1

Example: t_(stop)=25, t_(start)=3

f(T) prioritizes auditing for bins 150 not counted in the last 25 daysand reduces the probability to count for subsequent days prior, down toa 0-probability at 3 days.

User accuracy Factor: f(A)

${f(A)} = {1 - \left( \frac{A}{R_{target}} \right)^{X}}$If  f(A) < 0, then  f(A) = 0Example: R_(target)=95 and X is 2

f(A) prioritizes high accuracy of associates not to contribute to theprobability of having to audit the bin 150, described by a target ratio(R_(target)). In the exemplary embodiment of FIG. 4, the target ratio(i.e., predetermined threshold of worker accuracy during a preceding binaudit) is 95%. In other words, workers at retail sales facilities 110with target ratios of 95% or greater will not contribute to theprobability of having to audit a bin 150. X is the effect of the rate ofchange of the factor on overall probability to audit the bin 150.

Sku Factor: f(Skus)

${f({Skus})} = {1 - \left( \frac{Skus}{R_{target}} \right)^{X}}$If  f(Skus) < 0, then  f(Skus) = 0${{{If}\mspace{14mu}{Skus}} > R_{target}},{{{then}\mspace{14mu}{f({Skus})}} = {1 - {\left( \frac{Skus}{R_{target}} \right)^{X} \div 100}}}$Example: R_(target)=30 and X is 7

f(sku) prioritizes high numbers of skus (stock keeping units) in a bin150 not to contribute to the probability of having to audit the bin 150,described by a target ratio (R_(target)). Bins 150 with target ratios of30 SKUs or greater will not contribute to the probability of having toaudit a bin 150, since locations with large numbers of SKUs aregenerally more difficult to audit accurately. Common large SKU bins 150are considered to be each-containing bins and mixed pallet bins. X isthe effect of the rate of change of the factor on overall probability toaudit.

Transaction Factor: f(R)

${f(R)} = \frac{R}{ɛ\;}$

If f(R)<0, then f(R)=0

If f(R)>1, then f(R)=1

Example: ε=3

f(R) prioritizes low numbers of transactions in a bin 150 (pick or binor move a product 120 into or from the bin 150) not to contribute to theprobability of having to audit the bin 150. Bins 150 having 3 or moretransactions will contribute greater to the probability of having toaudit the bin 150, since bins with a large number of transactions areconsidered to be more likely to have inaccuracies.

In one specific example, the control unit 210 of the electronicinventory management device 120 is programmed to have a threshold of75%, such that the bin audit management factors would lean heavilytoward user accuracy and number of transaction, which would reduce theoverall number of times a bin 150 was audited. In such a situation, thecontrol unit 210 of the electronic inventory management device 120 isprogrammed to calculate that, the above equation to determine aprobability to audit the bin 150 (i.e.,P_(Audit)=αf(Skus)+βf(A)+γf(T)+δf(R)), α would be low and have a weightof 10%, β would have a weight of 40%, γ would be 10%, and δ would be40%.

If, after obtaining from the inventory management database 140, one ormore bin audit management factors indicating that the bin 150 wasaudited 10 days ago, that the given user's accuracy is 95%, and that thenumber of SKUs in the bin 150 is 50, and that the number of transactionfrom that bin 150 is 20, the control unit 210 of the electronicinventory management device 120 is programmed to calculate, based on theabove probability of audit equation that the probability to audit thebin 150 would be 50%, which would be determined by the control unit 210to be below the preset threshold of 75%, and would cause the controlunit 210 to arrive at a decision (and transmit an appropriatenotification to the scanning device 130 of the user) that the bin 150does not have to be audited. This is because of the bin audit managementfactors, i.e., the user accuracy (95%) and the number of transactions(20) processed by the control unit 210 of the electronic inventorymanagement device 120, only one factor (i.e., number of transactions)leans toward auditing of the bin. In other words, if the bin 150 wereaudited by another worker having lower user accuracy (thereby leaningthe second of the analyzed bin audit management factors toward binaudit), the control unit 120 of the electronic inventory managementdevice 120 would be much more likely (depending on how much lower theuser accuracy is) to arrive at a decision that the bin 150 does have tobe audited. In the example above, if the probability to audit the bin150 were calculated by the control unit 210 to be not 50%, but higherthan the threshold value of 75%, the control unit 210 would arrive at adecision (and transmit an appropriate notification to the scanningdevice 130 of the user) that the bin 150 should be audited

The systems and methods described herein analyze bin management factorsand predetermined bin management factor thresholds to determine whetherto audit a bin in a stock room or not, thereby restricting bin audits incertain appropriate situations. Such by controlling and reducing thenumber of bin audits at retail sales facilities advantageously increasesefficiency of workers in stock rooms of retail sales facilities andadvantageously reduces both worker time spent on bin audits that may nothave been needed and potential for user error associated with bin auditscanning of a large number of products by the workers.

Those skilled in the art will recognize that a wide variety of othermodifications, alterations, and combinations can also be made withrespect to the above described embodiments without departing from thescope of the invention, and that such modifications, alterations, andcombinations are to be viewed as being within the ambit of the inventiveconcept.

What is claimed is:
 1. A method of managing a number of audits of binsstoring products at a stock room location of a retail sales facility,the method comprising: providing a mobile electronic device of a worker,the mobile electronic device including at least one of a display, aspeaker, and a scanner configured to scan identifying indicia of theproducts at the stock room location of the retail sales facility;generating, using an electronic inventory management device including aprocessor and a machine learning logic module, at least one bin auditmanagement factor for at least one bin at the retail sales facility,wherein the at least one bin audit management factor comprises at leastone of: an amount of time a total number of products stored in the atleast one bin does not change; a number of times at least one product isbinned or picked from the at least one bin, a number of products storedin the at least one bin; and an accuracy percentage of the worker at theretail sales facility during a preceding audit of the at least one bin;storing the at least one bin audit management factor generated by theelectronic inventory management device in an electronic inventorymanagement database the electronic inventory management database beingstored on a server in communication with the electronic inventorymanagement device and the mobile electronic device of the worker at theretail sales facility; in response to receiving, from the mobileelectronic device of the worker, electronic data indicating theidentifying indicia of a product stored in the at least one bin andscanned by the mobile electronic device, obtaining, using the electronicinventory management device, the at least one bin audit managementfactor for the at least one bin from the electronic inventory managementdatabase, and determining, via the processor of the electronic inventorymanagement device, whether at least one threshold value for the at leastone bin audit management factor obtained from the electronic inventorymanagement database meets a predetermined threshold value, stored in theelectronic inventory management database, that supports auditing the atleast one bin; setting the predetermined threshold value for the numberof products stored in the at least one bin based on a determination, bythe processor of the electronic inventory management device, of whetherthe products stored in the at least one bin are stored as pallets,cases, or eaches; generating, using the processor of the electronicinventory management device, an indication to the worker at the retailsales facility whether the determining step supports the auditing of theat least one bin; and when the determining step supports the auditing ofthe at least one bin, transmitting, from the electronic inventorymanagement device, a signal to the electronic mobile device of theworker at the retail sales facility, the signal causing the electronicmobile device of the worker to generate at least one of: a visualon-screen message on the display instructing the worker to audit the atleast one bin; and an audible output via the speaker instructing theworker to audit the at least one bin; when the determining step does notsupport the auditing of the at least one bin, transmitting, from theelectronic inventory management device, a signal to the electronicmobile device of the worker at the retail sales facility, the signalcausing the electronic mobile device of the worker to generate at leastone of: a visual on-screen message on the display instructing the workerto not audit the at least one bin; and an audible output via the speakerinstructing the worker to not audit the at least one bin; in response toreceiving, from the mobile electronic device of the worker, electronicdata indicating that the worker has completed an audit of the at leastone bin: activating the machine learning logic module of the controlcircuit to analyze the accuracy percentage of the worker during theaudit of the at least one bin completed by the worker, and updating theelectronic inventory management database by adjusting the predeterminedthreshold value for the at least one bin audit management factors storedin the electronic inventory management database in response to adetermination by the machine learning logic module of the controlcircuit that the accuracy percentage of the worker during the audit ofthe at least one bin completed by the worker has changed in comparisonto the accuracy percentage of the worker during at least one previousaudit of the at least one bin.
 2. The method of claim 1, wherein thegenerating step further includes generating an indication to the workerat the retail sales facility that the determining step supports theauditing of the at least one bin in response to a determination that atleast two threshold values for the obtained at least one bin auditmanagement factor meet the predetermined threshold value that supportsthe auditing of the at least one bin.
 3. The method of claim 1, whereinthe generating step further includes generating an indication to theworker at the retail sales facility that the determining step supportsthe auditing of the at least one bin in response to a determination thatat least three threshold values for the obtained at least one bin auditmanagement factor meet the predetermined threshold value that supportsthe auditing of the at least one bin.
 4. The method of claim 1, whereinthe generating step further includes generating an indication to theworker at the retail sales facility that the determining step supportsthe auditing of the at least one bin in response to a determination thatall threshold values for the obtained at least one bin audit managementfactor meet the predetermined threshold value that supports the auditingof the at least one bin.
 5. The method of claim 1, wherein thegenerating step further includes, when the determining step supports theauditing of the at least one bin, outputting an indication to the workerthat the at least one bin is to be audited, and when the determiningstep does not support the auditing of the at least one bin, anindication to the worker that the at least one bin is not to be audited.6. The method of claim 1, further comprising counting a number ofproducts stored in the at least one bin when the determining step doesnot support the auditing of the at least one bin.
 7. A system formanaging a number of audits of bins storing products at a stock roomlocation of a retail sales facility, the system comprising: a mobileelectronic device of a worker, the mobile electronic device including atleast one of a display, a speaker, and a scanner configured to scanidentifying indicia of the products at the stock room location of theretail sales facility; an electronic inventory management databasestored on a server and being in communication with the mobile electronicdevice of the worker and being configured to store at least one binaudit management factor for at least one bin at the retail salesfacility; and an electronic inventory management device including acontrol unit having a processor and a machine learning logic module, theelectronic inventory management device being in communication with theelectronic inventory management database and the electronic mobiledevice of the worker, wherein the processor of the electronic inventorymanagement device is programmed to: generate at least one bin auditmanagement factor for at least one bin at the retail sales facility,wherein the at least one bin audit management factor comprises at leastone of: an amount of time a total number of products stored in the atleast one bin does not change; a number of times at least one product isbinned or picked from the at least one bin, a number of products storedin the at least one bin; and an accuracy percentage of the worker at theretail sales facility during a preceding audit of the at least one bin;obtain, the at least one bin audit management factor for the at leastone bin from the electronic inventory management database, and determinewhether at least one threshold value for the obtained at least one binaudit management factor meets a predetermined threshold value stored inthe electronic inventory management database that supports auditing theat least one bin; set the predetermined threshold value for the numberof products stored in the at least one bin based on a determination, bythe processor, of whether the products stored in the at least one binare stored as pallets, cases, or eaches; generate an indication to theworker at the retail sales facility whether the determination supportsthe auditing of the at least one bin; when the determination by theprocessor of the electronic inventory management device supports theauditing of the at least one bin, transmit a signal to the electronicmobile device of the worker, the signal configured to cause the mobileelectronic device of the worker to generate at least one of: a visualon-screen message on the display instructing the worker to audit the atleast one bin; and an audible output via the speaker instructing theworker to audit the at least one bin; and when the determination of theprocessor of the electronic inventory management device does not supportthe auditing of the at least one bin, transmit a signal to theelectronic mobile device of the worker at the retail sales facility, thesignal configured to cause the mobile electronic device of the worker togenerate at least one of: a visual on-screen message on the displayinstructing the worker to not audit the at least one bin; and an audibleoutput via the speaker instructing the worker to not audit the at leastone bin; in response to receipt, from the mobile electronic device ofthe worker, electronic data indicating that the worker has completed anaudit of the at least one bin: activate the machine learning logicmodule of the control circuit to analyze the accuracy percentage of theworker during the audit of the at least one bin completed by the worker;and update the electronic inventory management database by adjusting thepredetermined threshold value for the at least one bin audit managementfactors stored in the electronic inventory management database inresponse to a determination by the machine learning logic module of thecontrol circuit that the accuracy percentage of the worker during theaudit of the at least one bin completed by the worker has changed incomparison to the accuracy percentage of the worker during at least oneprevious audit of the at least one bin.
 8. The system of claim 7,wherein the control unit is further configured to generate an indicationto the worker at the retail sales facility that the determinationsupports the auditing of the at least one bin in response to adetermination that at least two threshold values for the obtained atleast one bin audit management factor meet the predetermined thresholdvalue that supports the auditing of the at least one bin.
 9. The systemof claim 7, wherein the control unit is further configured to generatean indication to the worker at the retail sales facility that thedetermination supports the auditing of the at least one bin in responseto a determination that at least three threshold values for the obtainedat least one bin audit management factor meet the predeterminedthreshold value that supports the auditing of the at least one bin. 10.The system of claim 7, wherein the control unit is further configured togenerate an indication to the worker at the retail sales facility thatthe determination supports the auditing of the at least one bin inresponse to a determination that all threshold values for the obtainedat least one bin audit management factor meet the predeterminedthreshold value that supports the auditing of the at least one bin. 11.The system of claim 7, wherein the control unit is further configuredto, when the determination supports the auditing of the at least onebin, output an indication to the worker that the at least one bin is tobe audited, and when the determination does not support the auditing ofthe at least one bin, an indication to the worker that the at least onebin is not to be audited.
 12. The system of claim 7, wherein the controlunit is further configured to count a number of products stored in theat least one bin when the determination does not support the auditing ofthe at least one bin.
 13. The method of claim 1, further comprisinggenerating, in the on-screen message, a list identifying the at leastone bin determined by the processor of the electronic inventorymanagement device to be audited by the worker, with the list notincluding the at least one bin determined by the processor of theelectronic inventory management device to not be audited by the worker.14. The system of claim 7, wherein the signal transmitted by theelectronic inventory management device to the mobile electronic deviceof the worker is configured to cause the mobile electronic device of theworker to generate, in the on-screen message, a list identifying the atleast one bin determined by the processor of the electronic inventorymanagement device to be audited by the worker, with the list notincluding the at least one bin determined by the processor of theelectronic inventory management device to not be audited by the worker.